Optimal algorithm allocation for robotic network cloud systems

A robotic network is a system with multiple robots connected by communication network. Certain tasks that cannot be accomplished available resources are candidates for the use of cloud robotics, which overcomes limitations robot adding to network, either local or remote servers infrastructure, aid in computational demanding storage. Previous studies have mainly focused on minimizing cost retrieving knowing resource allocation advance. We develop method includes robots, fog and nodes, determine where each algorithm should allocated so achieves optimal performance, regardless initiates request. can find minimum required memory way allocate algorithms shortest time complete task. experimentally compare our state-of-the-art method, using real-world data, showing improvements obtained.